{"id":"https://openalex.org/W4410772136","doi":"https://doi.org/10.1145/3727353.3727403","title":"Research and Application of Data-driven Cigarette Retailer Classification: A Grid-Based Approach","display_name":"Research and Application of Data-driven Cigarette Retailer Classification: A Grid-Based Approach","publication_year":2025,"publication_date":"2025-01-10","ids":{"openalex":"https://openalex.org/W4410772136","doi":"https://doi.org/10.1145/3727353.3727403"},"language":"en","primary_location":{"id":"doi:10.1145/3727353.3727403","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3727353.3727403","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727403","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727403","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021556606","display_name":"Yuhua Mo","orcid":"https://orcid.org/0009-0000-5051-9319"},"institutions":[{"id":"https://openalex.org/I4210098640","display_name":"China Tobacco Guangxi Industrial (China)","ror":"https://ror.org/00fzs3g26","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210098640"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhua Mo","raw_affiliation_strings":["Internet Research Center, China Tobacco Guangxi Industrial Co., LTD., Nanning, Guangxi, China"],"raw_orcid":"https://orcid.org/0009-0000-5051-9319","affiliations":[{"raw_affiliation_string":"Internet Research Center, China Tobacco Guangxi Industrial Co., LTD., Nanning, Guangxi, China","institution_ids":["https://openalex.org/I4210098640"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109756301","display_name":"Pai-yu Li","orcid":"https://orcid.org/0009-0000-4459-9404"},"institutions":[{"id":"https://openalex.org/I4210098640","display_name":"China Tobacco Guangxi Industrial (China)","ror":"https://ror.org/00fzs3g26","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210098640"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Paiyu Li","raw_affiliation_strings":["Internet Research Center, China Tobacco Guangxi Industrial Co., LTD., Nanning, Guangxi, China"],"raw_orcid":"https://orcid.org/0009-0000-4459-9404","affiliations":[{"raw_affiliation_string":"Internet Research Center, China Tobacco Guangxi Industrial Co., LTD., Nanning, Guangxi, China","institution_ids":["https://openalex.org/I4210098640"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100952358","display_name":"Xipeng Liu","orcid":"https://orcid.org/0009-0001-1999-408X"},"institutions":[{"id":"https://openalex.org/I4210098640","display_name":"China Tobacco Guangxi Industrial (China)","ror":"https://ror.org/00fzs3g26","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210098640"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xipeng Liu","raw_affiliation_strings":["Internet Research Center, China Tobacco Guangxi Industrial Co., LTD., Nanning, Guangxi, China"],"raw_orcid":"https://orcid.org/0009-0001-1999-408X","affiliations":[{"raw_affiliation_string":"Internet Research Center, China Tobacco Guangxi Industrial Co., LTD., Nanning, Guangxi, China","institution_ids":["https://openalex.org/I4210098640"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106737553","display_name":"Lili Zhu","orcid":"https://orcid.org/0009-0002-6151-792X"},"institutions":[{"id":"https://openalex.org/I4210098640","display_name":"China Tobacco Guangxi Industrial (China)","ror":"https://ror.org/00fzs3g26","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210098640"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lili Zhu","raw_affiliation_strings":["Internet Research Center, China Tobacco Guangxi Industrial Co., LTD., Nanning, Guangxi, China"],"raw_orcid":"https://orcid.org/0009-0002-6151-792X","affiliations":[{"raw_affiliation_string":"Internet Research Center, China Tobacco Guangxi Industrial Co., LTD., Nanning, Guangxi, China","institution_ids":["https://openalex.org/I4210098640"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101408790","display_name":"Meng Liu","orcid":"https://orcid.org/0009-0006-5267-499X"},"institutions":[{"id":"https://openalex.org/I4210098640","display_name":"China Tobacco Guangxi Industrial (China)","ror":"https://ror.org/00fzs3g26","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210098640"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Liu","raw_affiliation_strings":["Internet Research Center, China Tobacco Guangxi Industrial Co., LTD., Nanning, Guangxi, China"],"raw_orcid":"https://orcid.org/0009-0006-5267-499X","affiliations":[{"raw_affiliation_string":"Internet Research Center, China Tobacco Guangxi Industrial Co., LTD., Nanning, Guangxi, China","institution_ids":["https://openalex.org/I4210098640"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5098934086","display_name":"Liangben Xu","orcid":"https://orcid.org/0009-0001-3102-019X"},"institutions":[{"id":"https://openalex.org/I4210098640","display_name":"China Tobacco Guangxi Industrial (China)","ror":"https://ror.org/00fzs3g26","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210098640"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangben Xu","raw_affiliation_strings":["Internet Research Center, China Tobacco Guangxi Industrial Co., LTD., Nanning, Guangxi, China"],"raw_orcid":"https://orcid.org/0009-0001-3102-019X","affiliations":[{"raw_affiliation_string":"Internet Research Center, China Tobacco Guangxi Industrial Co., LTD., Nanning, Guangxi, China","institution_ids":["https://openalex.org/I4210098640"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210098640"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"296","last_page":"302"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9241999983787537,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9241999983787537,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9168999791145325,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9067000150680542,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6055594086647034},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5693256855010986},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4206356406211853},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41396409273147583},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2289767563343048},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06592720746994019}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6055594086647034},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5693256855010986},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4206356406211853},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41396409273147583},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2289767563343048},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06592720746994019},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3727353.3727403","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3727353.3727403","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727403","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3727353.3727403","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3727353.3727403","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727403","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410772136.pdf","grobid_xml":"https://content.openalex.org/works/W4410772136.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W3091924507","https://openalex.org/W3213749493","https://openalex.org/W4287958287","https://openalex.org/W4293067016","https://openalex.org/W4308627565","https://openalex.org/W4381747137","https://openalex.org/W6864652874"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0],"view":[1],"of":[2,20,47,68,84,104,141,154,165,168],"the":[3,6,16,38,48,72,89,102,109,117,122,139,145,151,155,162,166,169],"deficiencies":[4],"in":[5,13,112,121],"current":[7],"cigarette":[8,39,85,92,105],"retailer":[9],"grade":[10],"division":[11],"method":[12,30,36],"accurately":[14],"reflecting":[15],"business":[17,44,97,118,130,135],"operation":[18],"capabilities":[19],"retailers,":[21],"this":[22,75],"study":[23],"innovatively":[24],"puts":[25],"forward":[26],"a":[27],"hierarchical":[28,80],"classification":[29],"driven":[31],"by":[32,158],"big":[33],"data.":[34],"This":[35],"divides":[37],"sales":[40,93],"regional":[41],"market":[42,111,124],"into":[43,127],"circle":[45,98,119],"grids":[46,120],"same":[49],"size.":[50],"Subsequently,":[51],"it":[52,77],"conducts":[53],"systematic":[54],"preprocessing":[55],"on":[56],"external":[57],"environment":[58],"data":[59],"such":[60],"as":[61,114],"consumption":[62],"level,":[63],"population":[64],"density":[65],"and":[66,81,95,100,132,160],"Points":[67],"Interest":[69],"(POI)":[70],"within":[71],"grids.":[73],"On":[74],"basis,":[76],"carries":[78],"out":[79],"classified":[82],"management":[83],"retailers":[86],"to":[87,148,176],"achieve":[88],"adaptation":[90],"between":[91],"channels":[94],"different":[96],"environments":[99],"improve":[101],"accuracy":[103],"supply":[106,143,156],"allocation.":[107],"Taking":[108],"Yulin":[110,123],"Guangxi":[113],"an":[115],"example,":[116],"are":[125],"divided":[126],"5":[128],"special":[129],"circles":[131],"7":[133],"non-special":[134],"circles,":[136],"which":[137],"increases":[138,150],"combination":[140],"goods":[142,167],"from":[144,174],"original":[146],"30":[147],"360,":[149],"subdivision":[152],"degree":[153],"area":[157],"1100%,":[159],"raises":[161],"utilization":[163],"rate":[164],"new":[170],"Zhenlong":[171],"brand":[172],"cigarettes":[173],"35%":[175],"59%.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
